






def        UpperCAmelCase__		(						lowerCamelCase_       :       List[Any]   ,  lowerCamelCase_       :       Union[str, Any]   ,  lowerCamelCase_       :       Dict   ,  lowerCamelCase_       :       Tuple				):
			# Return True if there is node that has not iterated.
			__a						:  int									=     [False] * len(lowerCamelCase_				)
			__a						:  Optional[int]									=     []
			queue.append(lowerCamelCase_				)
			__a						:  List[str]									=     True

			while queue:
						__a						:  Optional[Any]									=     queue.pop(0				)
						for ind in range(len(graph[u]				)				):
									if visited[ind] is False and graph[u][ind] > 0:
												queue.append(lowerCamelCase_				)
												__a						:  Dict									=     True
												__a						:  int									=     u

			return visited[t]

def        UpperCAmelCase__		(						lowerCamelCase_       :       Dict   ,  lowerCamelCase_       :       Tuple   ,  lowerCamelCase_       :       Any				):
			# This array is filled by BFS and to store path
			__a						:  List[str]									=     [-1] * (len(lowerCamelCase_				))
			__a						:  int									=     0
			while bfs(lowerCamelCase_   ,  lowerCamelCase_   ,  lowerCamelCase_   ,  lowerCamelCase_				):
						__a						:  List[Any]									=     float('Inf'				)
						__a						:  List[Any]									=     sink

						while s != source:
									# Find the minimum value in select path
									__a						:  List[str]									=     min(lowerCamelCase_   ,  graph[parent[s]][s]				)
									__a						:  List[str]									=     parent[s]

						max_flow += path_flow
						__a						:  int									=     sink

						while v != source:
									__a						:  Optional[Any]									=     parent[v]
									graph[u][v] -= path_flow
									graph[v][u] += path_flow
									__a						:  Optional[Any]									=     parent[v]
			return max_flow


SCREAMING_SNAKE_CASE__				     =			[
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

SCREAMING_SNAKE_CASE__     ,						SCREAMING_SNAKE_CASE__				     =			0, 5
print(ford_fulkerson(graph, source, sink))






from datetime import datetime

import requests
from bsa import BeautifulSoup

if __name__ == "__main__":
				A						=			input('Enter image url: ').strip()
				print(F'''Downloading image from {url} ...''')
				A						=			BeautifulSoup(requests.get(url).content, 'html.parser')
				# The image URL is in the content field of the first meta tag with property og:image
				A						=			soup.find('meta', {'property': 'og:image'})['content']
				A						=			requests.get(image_url).content
				A						=			F'''{datetime.now():%Y-%m-%d_%H:%M:%S}.jpg'''
				with open(file_name, 'wb') as fp:
								fp.write(image_data)
				print(F'''Done. Image saved to disk as {file_name}.''')